Hyperliquid Vs Solana: CEO Frames The Competition As Path Toward ‘Bitcoin 3.0’

bitcoinist发布于2026-04-29更新于2026-04-29

Justin Bons, founder of Cyber Capital, Europe’s oldest crypto fund, used X (formerly Twitter) to lay out a detailed defense of Hyperliquid (HYPE) as it competes with Solana (SOL).

In his post, Bons framed the conversation around what he calls “devils hiding in the details,” arguing that Hyperliquid’s rise is tied to design choices that are easy to overlook.

Spotlight On Hyperliquid

Bons said Hyperliquid’s performance—especially its ability to lead fee charts—comes down to product execution. He argued that HYPE has built a trading experience that feels superior to alternatives, including Solana’s.

According to Bons, Solana’s planned upgrades, Alpenglow and MCP, are intended to close the perceived gap in performance, positioning, and user experience.

At the same time, Bons maintained that Hyperliquid has benefited from running largely unchallenged within its specific niche. He pointed to the platform’s focus areas—perpetual (perp) trading and real-world assets (RWA)—as areas where it has found strong momentum and demand.

For Bons, this combination of product strength and a clear market focus has helped explain why HYPE has attracted attention so quickly, even as it remains early in the journey toward a more fully decentralized execution model.

A major part of Bons’s analysis centered on what he described as a “latency race.” He argued that HYPE’s current infrastructure shows a high level of concentration, citing that the network has only 24 validators and that most are located in the same data center in Tokyo.

Centralization Concerns Remain

In his view, that distribution represents an “extreme degree of centralization,” even if the validator operators remain permissionless in principle. Bons acknowledged that this structure appears to have emerged due to strong demand for low latency.

He said Cyber Capital would not defend the design, but emphasized that market behavior has rewarded faster execution, which helps explain why such an architecture developed in the first place.

Bons also described an important dynamic for both chains: Hyperliquid and Solana are both pursuing low latency performance while moving toward fully decentralized designs. He characterized this as the key contest—who can reach a low-latency, highly decentralized outcome first.

HYPE Could Be ‘Bitcoin 3.0’

Another claim Bons made was that much of Hyperliquid’s trading activity does not occur in the fully on-chain way that many users assume. In his description, HYPE does not match trades on-chain immediately; instead, orders are matched in the mempool and are only included on-chain later.

Bons argued that this distinction is not obvious to most traders, and that it is part of the reason the platform can deliver a smoother product. Bons further argued that Hyperliquid is taking steps that align with a path toward greater decentralization.

He said HYPE is moving in a direction that could lead to more “full decentralization” over time, citing commitments such as open-sourcing the codebase, moving trading fully on-chain, and increasing and better distributing validators globally.

From an “evolutionary” perspective in his post, the winner of this competition could be seen as a kind of next-generation benchmark for decentralization and performance, with the potential to become “Bitcoin 3.0” in the sense of building the most decentralized and performant chain at scale.

The daily chart shows HYPE’s 4% retrace to $39 on Tuesday. Source: HYPEUSDT on TradingView.com

Featured image from OpenArt, chart from TradingView.com

热门币种推荐

你可能也喜欢

AI 成绩单背后,藏着一位华人“出题人”

AI领域重要的基准评测MMLU-Pro、MMMU、MMMU-Pro背后,都站着同一位“出题人”——加拿大滑铁卢大学助理教授陈文虎。 随着大语言模型能力快速提升,旧的评测基准如MMLU逐渐“失灵”,顶尖模型得分趋近满分,难以区分高下。为此,陈文虎团队于2024年推出MMLU-Pro。它通过将选项扩至10个、增加推理题比例、剔除简单题等方式,使模型准确率相较旧基准显著下降16%-33%,成绩波动更小,有效拉开了模型间的真实差距。 在多模态评测方面,陈文虎团队推出的MMMU基准包含1.15万道需结合图像与专业知识的复杂题目,即便是当时最强的GPT-4V和Gemini Ultra准确率也未超过60%。后续的MMMU-Pro则进一步堵住模型仅凭文本猜答案的漏洞,强制其进行真正的多模态理解。 陈文虎的研究方向长期聚焦于复杂信息理解与推理。他曾于谷歌DeepMind参与Gemini多模态模型的研发与评估工作,这让他深谙模型能力增长路径与评估盲区。他创立的“老虎实验室”不仅做评测,也研发视频理解与生成等模型,这种“既做题也出题”的经历,使其能更精准地设计出触及模型能力边界的评估体系。 如今,陈文虎已加入Meta超级智能实验室,继续专注于多模态预训练与评估工作。他的故事反映了在AI浪潮中,众多华人研究者正深度参与并塑造着行业发展的核心基础工作。

marsbit1小时前

AI 成绩单背后,藏着一位华人“出题人”

marsbit1小时前

Alliance 联创致创业者的一封信:写在 Cursor 卖出 600 亿美元之际

作者Imran以Cursor以600亿美元被收购为引,致信创业者,探讨如何发现并抓住创业机遇。 文章指出,许多创业者在看到成功案例后,因感觉市场饱和而放弃。真正的机会在于识别长期的技术趋势转变,并基于对未来的非共识信念,在市场成熟前默默构建。Cursor、Stripe、Figma、Shopify等公司均遵循此模式:在现有解决方案(如PayPal、Adobe、亚马逊)验证市场后,围绕新洞察、新技术或变化的用户需求进行重构。 创业者应首先找准自己在技术周期中的位置:早期入场者(如Coinbase、Cursor)应致力于让新技术对重度用户更易用;后期入场者则需寻找先行者忽视的“阴面”机会。 积累独特见解至关重要。创业者需深度沉浸于目标市场,体验所有竞品,与用户深入交流,从而发现未被满足的“火烧眉毛”般的痛点或能带来十倍提升的机会。产品MVP应极其聚焦,提供用户无法拒绝的转换理由,并尽可能降低用户的转换成本。 分发渠道常被低估,却是关键护城河。创业者需打造自己的分发引擎,通过无法规模化的“笨功夫”手动获取早期用户,实现渠道与市场的契合。 最后,成功离不开坚韧与适应力。伟大公司的创始人并非更聪明,而是能在漫长而艰难的过程中坚持足够久,让洞察产生复利。文章总结框架为:寻找技术周期更迭、培养独特洞察、痴迷市场、与客户交流、找到核心痛点、打造简单切入点、赢得分发渠道,并在困难时永不放弃。

链捕手1小时前

Alliance 联创致创业者的一封信:写在 Cursor 卖出 600 亿美元之际

链捕手1小时前

交易

现货
合约

热门文章

相关讨论

欢迎来到HTX社区。在这里,您可以了解最新的平台发展动态并获得专业的市场意见。以下是用户对SOL(SOL)币价的意见。

活动图片